Scholar
Mudith Jayasekara
Google Scholar ID: Xs_ycnEAAAAJ
DPhil candidate in ML @ Oxford | CEO/Co-founder @ Parsed
Citations & Impact
Citations
28
H-index
2
i10-index
1
Publications
7
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Supported by the Rhodes Scholarship
- - Awarded Google PhD Fellowship in 2025
- - Selected for Schmidt Sciences AI2050 Research Fellowship in 2025
Research Experience
- - Worked as a medical doctor for two years focusing on neurosurgery and held an adjunct associate lecturer position at the University of New South Wales
- - Worked at a large Australian digital health startup helping to develop an asynchronous text-based telemedicine platform
- - Currently working on multimodal data fusion using deep architectures for clinical risk prediction, applied to diagnosis of undiagnosed chronic health conditions and predictive monitoring in neurocritical care
Education
- - MD with Distinction, BMed with Distinction, University of New South Wales (Supervisor: Not explicitly mentioned)
- - MSc in Applied Digital Health, University of Oxford
- - DPhil Student, Computational Health Informatics Lab, University of Oxford (Supervisor: Professor David Clifton)
Background
- Research interests include multimodal data fusion using deep architectures for clinical risk prediction. Application areas include diagnosis of undiagnosed chronic health conditions like atrial fibrillation and predictive monitoring in neurocritical care.
Miscellany
- Outside of medicine, he spent many years competing as an elite pole vaulter in track and field. He also co-founded and runs Ethical Education, a charity that connects volunteer tutors with means-tested students across Australia.
Co-authors